Structure management scheme of flying ad-hoc networks (FANET): A dynamic weight values weighted clustering algorithm

Abstract

Abstract To resolve the problem of structure management in Unmanned Aerial Vehicle(UAV) formation, a dynamic weight values weighted clustering algorithm(DWVWCA) is proposed in this article, in which the cluster scheme for network optimization is used. Firstly, the residual energy model is improved to be more realistic. Secondly, the combined weighting method is introduced to make the comprehensive weight value of the UAV subjective and objective. Finally, the dynamic weight threshold is introduced to calculate the comprehensive weight value in real-time. The simulation results show that DWVWCA can effectively improve the objectivity of cluster head election, extend the UAV formation survival cycle, balance the network structure, reduce the number of cluster reorganization and fusion, and enhance the network stability.